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Context Engineering with Adi Polak
In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows
Failure As a Means to Build Resilient Software Systems: A Conversation with Lorin Hochstein
In this podcast Michael Stiefel spoke to Lorin Hochstein about how real-world failures provide insight into how software systems actually work. Our first topic was understanding that while automated fault injection tools can introduce basic
Agentic Systems Without Chaos: Early Operating Models for Autonomous Agents
Are you ready for your new non-deterministic co-workers? Autonomous agents promise to help build, operate, and run software systems, but they can also be unpredictable, chaotic, and difficult to control without the right operating model. In
Andres Almiray on How to Release Any Software to Any OS with JReleaser
Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission. Read
Mindful Leadership in the Age of AI
In this episode, Thomas Betts and Sam McAfee discuss how AI hype is reshaping organizational behavior, why many companies struggle with experimentation, and how unclear decision structures create friction. They explore psychological safety
AI Autonomy Is Redefining Architecture: Boundaries Now Matter Most
This conversation explores why generative AI is not just another automation layer but a shift into autonomy. The key idea is that we cannot retrofit AI into old procedural workflows and expect it to behave. Once autonomy is introduced, syst
Frictionless DevEx with Nicole Forsgren
In this episode, Thomas Betts talks with Dr. Nicole Forsgren, the author of Accelerate and one of the most prominent and important minds in DevOps and developer productivity. The conversation is about identifying and removing developer fric
Software Evolution with Microservices and LLMs: A Conversation with Chris Richardson
In this podcast, Michael Stiefel spoke with Chris Richardson about using microservices to modernize software applications and the use of artificial intelligence in software architecture. We first discussed the problems of monolithic enterpr
Building Resilient Event-Driven Microservices in Financial Systems with Muzeeb Mohammad
In this episode, Thomas Betts chats with Muzeeb Mohammad about building event-driven microservices for financial systems. The discussion covers some of the core principles and patterns for event-driven architectures, reasons for using these
The Craft of Software Architecture in the Age of AI Tools
AI coding assistants promise speed, but what do they mean for quality, trust, and the architect’s craft? In this inaugural episode of Next Gen Architecture Playbook, Shweta Vohra and Grady Booch explore a principled view of how architecture
Improving Valkey with Madelyn Olson
In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source
Developers Can Improve the ESG Aspects of Software By Tackling Early Ethical Debt
Erica Pisani, host of the performance and sustainability track at QCon London 2025, retrospects on the lessons learned from assembling the track and the lessons learned from attending the talks. She touches on the importance of the environm
Startup Software Architecture - You Never Really Throw It Away: A Conversation with David Gudeman
In this podcast Michael Stiefel spoke with David Gudeman about software architecture for startups. The discussion starts by illuminating how to make decisions with imperfect information, and how uncertainty and ambiguity flow through all as
AI-Driven Development with Olivia McVicker
In this episode, Thomas Betts chats with Olivia McVicker, a Senior Cloud Advocate at Microsoft about AI-driven software development. The conversation covers the current, mainstream AI coding assistants and gets into where those tools are qu
Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and CRDTs
In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can
2025 Key Trends: AI Workflows, Architectural Complexity, Sociotechnical Systems & Platform Products
In this end-of-year panel, the InfoQ podcast hosts reflect on AI’s impact on software delivery, the growing importance of sociotechnical systems, evolving cloud realities, and what 2026 may bring. Read a transcript of this interview: https:
The Latest in OpenJDK and JCP Expert Group: Insights with Simon Ritter
In this episode, Simon Ritter, Deputy CTO at Azul, sat down with podcast host Michael Redlich, Lead Editor of the Java topic at InfoQ, and discussed the latest features in OpenJDK and Simon’s experiences serving on the JCP Expert Group sinc
Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework
Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appe
Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of
Bridging the Open Source Gap: From Funding Paradoxes to Digital Sovereignty
Gabriele Columbro, managing director of the Linux Foundation Europe, discusses the differences in the open-source landscape between Europe, China and the US. Stressing that the open-source landscape is the last favorable ground for global i
GenAI Security: Defending Against Deepfakes and Automated Social Engineering
In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling
Looking for Root Causes is a False Path: A Conversation with David Blank-Edelman
In this podcast Michael Stiefel spoke with David Blank-Edelman about the relationship between software architecture and site reliability engineering. Site reliability engineering can give architecture vital feedback about how the system act
How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework
Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the
Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System
Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussi
Architecture Should Model the World as It Really Is: A Conversation with Randy Shoup
In this podcast, Michael Stiefel spoke with Randy Shoup about how to evolve your software after a software failure, and how to improve the resilience of your software by modeling transient states using events and workflows. Software failure
If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Magdalena Picariello reframes how we think about AI, moving the conversation from algorithms and metrics to business impact and outcomes. She champions evaluation systems that don't just measure accuracy but also demonstrate real-world busi
Effective Error Handling: A Uniform Strategy for Heterogeneous Distributed Systems
Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights on how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, rega
Cloud and DevOps InfoQ Trends Report 2025
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report creation process. These reports provide InfoQ readers
Mental Models in Architecture & Societal Views of Technology: A Conversation with Nimisha Asthagiri
In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can eve
Elena Samuylova on Large Language Model (LLM) Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM) based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by
